Explore MATLAB source code curated for "MSK" with clean implementations, documentation, and examples.
This source code implements performance simulation for OFDM communication systems, supporting BPSK, QPSK, MSK, and QAM modulation schemes over AWGN and Rayleigh channels. The implementation includes simulation of IEEE 802.11a compliant OFDM systems with pilot insertion for enhanced communication reliability.
Power Spectrum Analysis of Frequency Shift Keying (FSK), Minimum Shift Keying (MSK), and Phase Shift Keying (PSK) Modulation Schemes
MATLAB implementation files for multiple modulation schemes: bask.m (Binary Amplitude Shift Keying), bfsk.m (Binary Frequency Shift Keying), bpsk.m (Binary Phase Shift Keying), msk.asv (Minimum Shift Keying auto-save file), msk.m (Minimum Shift Keying), qpsk.m (Quadrature Phase Shift Keying), raymodel.m (Rayleigh Fading Channel Model)
MATLAB-based simulation suite for MSK, QPSK, OQPSK, and QAM modulation techniques with comprehensive performance analysis and signal visualization capabilities
MSK modulation and demodulation program implementing traditional MSK and GMSK mod/demod methods with code-level algorithm explanations and key function descriptions.
This source code package provides MATLAB implementations of various modulation and demodulation schemes including BPSK, QPSK, OQPSK, MSK, MSK2, GMSK, QAM, and 16-QAM, along with their communication system realizations under AWGN and Rayleigh channels with bit error rate performance analysis
Provides comprehensive MATLAB implementations of BPSK, MSK, QAM, and GMSK modulation schemes with ready-to-run bit error rate (BER) simulation capabilities. The code includes signal generation, modulation/demodulation processes, and performance analysis tools.
MSK modulation and demodulation implementation featuring concise code structure for rapid signal generation and optimized computational efficiency
Performance comparison of PAM, MSK, and GMSK modulation techniques, including power spectral density and bit error rate analysis with graphical visualization capabilities. Implementation approaches involve generating modulated signals using MATLAB's Communication Toolbox functions, computing power spectra via FFT algorithms, and evaluating BER performance through Monte Carlo simulations with AWGN channel modeling.
MATLAB simulation of MSK modulation and demodulation with implementation details